Senior Analytics Engineer

$130,894 - $130,894/Yr

Ihire - Summit, NJ

posted about 2 months ago

Full-time - Mid Level
Summit, NJ
10,001+ employees
Administrative and Support Services

About the position

As a Senior Analytics Engineer at Innova Solutions, you will play a pivotal role in enhancing our data capabilities and driving insights that improve decision-making processes within manufacturing operations. This position requires a blend of advanced technical skills and the ability to collaborate effectively across various teams and departments. You will be responsible for performing data engineering, preprocessing, exploratory data analysis, and model development by interacting with a variety of databases. Your expertise will be crucial in ensuring the ingestion, integration, and delivery of data across multiple platforms while maintaining data integrity and adhering to clean data principles. In this role, you will lead team code reviews and work to improve programming practices within the team. You will independently coordinate and manage analytics projects, engaging with cross-functional stakeholders to ensure successful project execution. Your ability to communicate effectively across global teams and time zones will be essential as you provide regular updates and collaborate on deliverables. You will also be accountable for leading, documenting, and managing analytics User Requirements Specifications (URS) and User Acceptance Testing (UAT) through execution for Global Process Owners (GPO). Your responsibilities will extend to designing and delivering digital solutions that streamline access to analytics and data, working closely with domain Subject Matter Experts (SMEs) to derive insights that enhance manufacturing-related data transformations and improvement initiatives. You will utilize both supervised and unsupervised learning methods to extract insights from vast amounts of unlabeled data, ensuring that the lifecycle management of code is maintained through version control and associated repositories. Additionally, you will develop high-quality analytical and statistical models, insights, patterns, and visualizations that can significantly impact decision-making in manufacturing operations. Documentation of all technical work will be a key aspect of your role, ensuring clarity and compliance with formal document management systems.

Responsibilities

  • Perform data engineering, preprocessing, exploratory data analysis, and model development by interacting with a variety of databases.
  • Responsible for ingestion, integration, and delivery of data across multiple platforms.
  • Maintain and uphold data integrity and clean data principles.
  • Lead team code reviews and improve team programming practices.
  • Independently coordinate and manage analytics projects across several departments and with cross-functional stakeholders.
  • Communicate regularly with team members to provide updates and collaborate on deliverables.
  • Lead, document, and manage analytics URS and UAT through execution for GPO.
  • Engage colleagues who complete data-related activities.
  • Design and deliver digital solutions that streamline access to analytics and data.
  • Work with domain SMEs to derive insight and value to improve manufacturing-related data transformations and improvement initiatives.
  • Utilize supervised or unsupervised methods to drive insight from vast amounts of unlabeled data.
  • Ensure lifecycle management of code is maintained through version control and associated repositories.
  • Develop high-quality analytical and statistical models, insights, patterns, and visualizations to improve decision-making in manufacturing operations.
  • Document all technical work both within and outside of formal document management systems.

Requirements

  • MS in Computer Science, Chemical Engineering, Biostatistics or similar with 3-6 years industry experience or PhD in Computer Science, Chemical Engineering, Biostatistics or similar with 3 years industry experience.
  • Dashboard development experience (Tableau, Spotfire, DASH).
  • Proficient in writing and developing analytical and machine learning models using Python modules including pandas, numpy, scikit-learn, and TensorFlow.
  • Experience developing and implementing MLOps pipelines.
  • Experience building analytical and statistical models to answer key business questions.
  • Experience using git via the command line.
  • Strong understanding of core statistical concepts to solve real-world problems.
  • Intermediate to advanced proficiency (3+ years post-academia experience as an independent contributor designing and delivering data solutions) in SQL.
  • Experience interacting with various data warehouses and large-scale, complex datasets using ETL and BI tools and platforms.
  • Self-motivated to identify and propose novel methodologies that will drive increased efficiency.
  • Demonstrate expert knowledge in machine learning and rule-based systems as applied to computational linguistics and natural language processing.
  • Proficiency in mathematics with the skill to translate complex mathematical algorithms into usable computational methods.
  • Experience with data mining and analysis techniques across disparate data sources.
  • Experience working in LINUX/UNIX environments.
  • Experience interacting with PostgreSQL, Oracle, Impala Cloudera, Okera or similar databases.
  • Experience with JupyterLabs, Anaconda, and RStudio.
  • Intermediate proficiency with Python.
  • Experience developing visualizations using a variety of methods (plotly, matplotlib, seaborn).
  • Experience working within Domino Data Lab projects.
  • Technical knowledge of performance tuning and query optimization across large datasets.
  • Experience with data cataloguing and enablement through APIs.
  • Experience with a variety of computer science languages (C++, Java, HTML/CSS).
  • Exposure to bioprocess engineering/cell therapy data.
  • Knowledge of GxP requirements (preferably related to data and code management).
  • Experience with Program/Project Management. SCRUM experience highly desired.

Nice-to-haves

  • Familiar with NET/SAP.
  • Knowledge of deep learning methods for NLP (quantitative area of study, Computer Science, preferred).
  • Strong background and demonstrable experience in Natural Language Processing and Computational Linguistics is required.
  • Experience working with the pharmaceutical industry.
  • Experience working with ERP systems.

Benefits

  • Medical & pharmacy coverage
  • Dental/vision insurance
  • 401(k)
  • Health saving account (HSA)
  • Flexible spending account (FSA)
  • Life Insurance
  • Pet Insurance
  • Short term and Long term Disability
  • Accident & Critical illness coverage
  • Pre-paid legal & ID theft protection
  • Sick time
  • Employee Assistance Program (EAP)
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